Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Authors: Alexander Camuto, George Deligiannidis, Murat A. Erdogdu, Mert Gurbuzbalaban, Umut Simsekli, Lingjiong Zhu
NeurIPS 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | For modern neural networks, we develop an efficient algorithm to compute the developed bound and support our theory with various experiments on neural networks. |
| Researcher Affiliation | Academia | 1: University of Oxford & Alan Turing Institute 2: University of Toronto & Vector Institute 3: Rutgers Business School 4: INRIA & École Normale Supérieure PSL Research University 5: Florida State University |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | Yes | Our implementation is available at https://github.com/umutsimsekli/fractal_generalization. |
| Open Datasets | Yes | trained on CIFAR10, SVHN and Boston House Prices (BHP). |
| Dataset Splits | Yes | Did you specify all the training details (e.g., data splits, hyperparameters, how they were chosen)? [Yes] See Section S7 in the Supplementary Document |
| Hardware Specification | Yes | Did you include the total amount of compute and the type of resources used (e.g., type of GPUs, internal cluster, or cloud provider)? [Yes] See Section S7 in the Supplementary Document |
| Software Dependencies | No | The paper mentions 'Py Hessian' as an external codebase used but does not provide specific version numbers for all key software dependencies. |
| Experiment Setup | Yes | Did you specify all the training details (e.g., data splits, hyperparameters, how they were chosen)? [Yes] See Section S7 in the Supplementary Document |